Senior Health Services Researcher- Remote
Job Description Summary:
Job Description:
The Senior Health Services Researcher is a senior-level researcher responsible for leading rigorous, and policy- and practice-relevant health services research using real-world data, including electronic medical records (EMR/EHR), claims, and workforce data. The role requires strong grounding in biostatistics and epidemiology to ensure rigorous study design, valid inference, and high-quality analysis of real-world clinical data.
This individual will serve as a hands-on analyst and methodological leader, designing and executing advanced quantitative studies that inform primary care delivery, workforce development, and health outcomes in community-based settings, particularly Federally Qualified Health Centers (FQHCs). The role emphasizes applied, implementation-oriented, and health services research that understands clinical systems and outcomes.
ROLE AND RESPONSIBILITIES
Methodological Leadership and Data Analysis
• Independently lead at least one complex multi-year research and evaluation project.
• Lead the design and execution of advanced quantitative and mixed-methods studies using EMR/EHR, claims, and other real-world data sources
• Apply rigorous methods such as causal inference, longitudinal analysis, multilevel modeling, quasi-experimental designs, and machine learning
• Serve as a hands-on analyst, directly working with large, complex datasets
• Independently design studies grounded in epidemiologic principles and execute analyses that meet peer-reviewed publication standards
EMR/EHR & Real-World Data Expertise
• Extract, clean, and analyze structured and unstructured data from electronic medical records
• Partner with clinical and IT teams to understand data architecture, workflows, and data quality limitations for analytical purposes
• Use EMR data to evaluate care delivery, patient outcomes, and quality improvement initiatives
Research & Implementation Science
• Lead and contribute to implementation and evaluation studies focused on:
• Primary care delivery models
• Care coordination and team-based care
• Workforce development and career pathways
• Cancer screening and chronic disease management
• Translate findings into actionable recommendations for health centers and partners
Funding & Scholarly Leadership
• Work closely with multidisciplinary teams including clinicians, data scientists, educators, and external partners
• Lead or contribute to grant development (federal, foundation, industry)
• Serve as Principal Investigator or Co-Investigator on funded projects
• Publish in peer-reviewed journals and present findings to national audiences
Staff Leadership & Capacity Building
• Supervise and mentor Research Scientists, and Research Associates.
• Provide high-level scientific review and methodological consultation across teams.
• Develop junior investigators toward increasing independence and funding success.
• Lead internal learning sessions to strengthen analytic and writing capacity.
• Contribute to recruitment and talent development within the research team.
• Contribute to building a strong, methodologically rigorous research culture.
External Engagement & Institutional Representation
• Serve as scientific contact for major funders and national collaborators.
• Represent Weitzman Institute in national advisory and research networks.
• Strengthen relationships with federal agencies (e.g., HRSA, NIH, CDC), foundations, academic institutions, and corporate partners.
• Ensure compliance with complex reporting requirements and performance metrics.
QUALIFICATIONS
Required Education
• Doctoral degree (PhD, ScD, DrPH, or equivalent) in public health, epidemiology, health services research, health policy, implementation science, or related field
OR
• Masters degree with at least 7 years of research experience commensurate with other requirements.
Required Experience
• Minimum 3 years of progressively responsible research experience.
• Sustained peer-reviewed publication record with evidence of scholarly impact.
• Demonstrated experience working with electronic medical record (EMR/EHR) data
• Strong track record of hands-on data analysis using large, complex datasets
• Experience working in or with primary care settings, preferably FQHCs or safety-net systems
Required Skills
• Strong foundation in biostatistics and epidemiology, including study design, bias, confounding, and causal inference
• Advanced proficiency in statistical software (Python, SAS, Stata, R, or equivalent)
• Demonstrated ability to apply statistical and epidemiologic methods to real-world healthcare data, including EMR/EHR and claims
• Experience with:
• Data cleaning and transformation of EMR/EHR data
• Statistical modeling and causal inference methods
• Machine learning and/or natural language processing (preferred)
• Familiarity with healthcare data standards (e.g., ICD, CPT, LOINC)
Preferred Qualifications
• Established professional network in primary care or health services research.
• Experience integrating innovative analytic approaches (e.g., data science, AI-enabled methods).
• Experience contributing to and leading grant proposals
PHYSICAL REQUIREMENTS/WORK ENVIRONMENT
Remote with occasional travel to healthcare sites, meetings, and conferences
Confidentiality of Information
Confidentiality of business information is a requirement. Confidentiality must be maintained according to CHC policies
This Position is available for remote work.
Time Type:
Full time
Job Description:
The Senior Health Services Researcher is a senior-level researcher responsible for leading rigorous, and policy- and practice-relevant health services research using real-world data, including electronic medical records (EMR/EHR), claims, and workforce data. The role requires strong grounding in biostatistics and epidemiology to ensure rigorous study design, valid inference, and high-quality analysis of real-world clinical data.
This individual will serve as a hands-on analyst and methodological leader, designing and executing advanced quantitative studies that inform primary care delivery, workforce development, and health outcomes in community-based settings, particularly Federally Qualified Health Centers (FQHCs). The role emphasizes applied, implementation-oriented, and health services research that understands clinical systems and outcomes.
ROLE AND RESPONSIBILITIES
Methodological Leadership and Data Analysis
• Independently lead at least one complex multi-year research and evaluation project.
• Lead the design and execution of advanced quantitative and mixed-methods studies using EMR/EHR, claims, and other real-world data sources
• Apply rigorous methods such as causal inference, longitudinal analysis, multilevel modeling, quasi-experimental designs, and machine learning
• Serve as a hands-on analyst, directly working with large, complex datasets
• Independently design studies grounded in epidemiologic principles and execute analyses that meet peer-reviewed publication standards
EMR/EHR & Real-World Data Expertise
• Extract, clean, and analyze structured and unstructured data from electronic medical records
• Partner with clinical and IT teams to understand data architecture, workflows, and data quality limitations for analytical purposes
• Use EMR data to evaluate care delivery, patient outcomes, and quality improvement initiatives
Research & Implementation Science
• Lead and contribute to implementation and evaluation studies focused on:
• Primary care delivery models
• Care coordination and team-based care
• Workforce development and career pathways
• Cancer screening and chronic disease management
• Translate findings into actionable recommendations for health centers and partners
Funding & Scholarly Leadership
• Work closely with multidisciplinary teams including clinicians, data scientists, educators, and external partners
• Lead or contribute to grant development (federal, foundation, industry)
• Serve as Principal Investigator or Co-Investigator on funded projects
• Publish in peer-reviewed journals and present findings to national audiences
Staff Leadership & Capacity Building
• Supervise and mentor Research Scientists, and Research Associates.
• Provide high-level scientific review and methodological consultation across teams.
• Develop junior investigators toward increasing independence and funding success.
• Lead internal learning sessions to strengthen analytic and writing capacity.
• Contribute to recruitment and talent development within the research team.
• Contribute to building a strong, methodologically rigorous research culture.
External Engagement & Institutional Representation
• Serve as scientific contact for major funders and national collaborators.
• Represent Weitzman Institute in national advisory and research networks.
• Strengthen relationships with federal agencies (e.g., HRSA, NIH, CDC), foundations, academic institutions, and corporate partners.
• Ensure compliance with complex reporting requirements and performance metrics.
QUALIFICATIONS
Required Education
• Doctoral degree (PhD, ScD, DrPH, or equivalent) in public health, epidemiology, health services research, health policy, implementation science, or related field
OR
• Masters degree with at least 7 years of research experience commensurate with other requirements.
Required Experience
• Minimum 3 years of progressively responsible research experience.
• Sustained peer-reviewed publication record with evidence of scholarly impact.
• Demonstrated experience working with electronic medical record (EMR/EHR) data
• Strong track record of hands-on data analysis using large, complex datasets
• Experience working in or with primary care settings, preferably FQHCs or safety-net systems
Required Skills
• Strong foundation in biostatistics and epidemiology, including study design, bias, confounding, and causal inference
• Advanced proficiency in statistical software (Python, SAS, Stata, R, or equivalent)
• Demonstrated ability to apply statistical and epidemiologic methods to real-world healthcare data, including EMR/EHR and claims
• Experience with:
• Data cleaning and transformation of EMR/EHR data
• Statistical modeling and causal inference methods
• Machine learning and/or natural language processing (preferred)
• Familiarity with healthcare data standards (e.g., ICD, CPT, LOINC)
Preferred Qualifications
• Established professional network in primary care or health services research.
• Experience integrating innovative analytic approaches (e.g., data science, AI-enabled methods).
• Experience contributing to and leading grant proposals
PHYSICAL REQUIREMENTS/WORK ENVIRONMENT
Remote with occasional travel to healthcare sites, meetings, and conferences
Confidentiality of Information
Confidentiality of business information is a requirement. Confidentiality must be maintained according to CHC policies
This Position is available for remote work.
Time Type:
Full time